What is meant by gene, chromosome, population in genetic algorithm in terms of feature selection?
A chromosome in this case could be a set of filters, each extracting a different feature (analogous to Convolutional Neural Network). Your question doesn't say what you want to do with these features, so this solution is made under the assumption that there is a fitness function which would take these features as an input and output a score. Then, each gene is a parameter for a filter, each chromosome defines a set of such filters, which makes up an individual. A population is a set of such individuals.